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Skip search results from other journals and go to results- 6 JMIR Formative Research
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Home Monitoring in Interstitial Lung Disease: Protocol for a Real-World Observational Study
Clinical trials have demonstrated that home spirometry is acceptable to patients with ILD [16-18]. Home spirometry correlates with clinical spirometry and is thought to be effective in detecting disease progression in patients with ILD [19,20]. The widespread increase in societal digitization, including smartphone utilization, has enabled the development of digital care pathways.
JMIR Res Protoc 2025;14:e65339
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The primary outcomes were moderate-to-severe and severe AE-COPD events occurring within 1 year after the spirometry test. A moderate AE-COPD was defined as a worsening of COPD symptoms necessitating the use of antibiotics or systemic corticosteroids. A severe AE-COPD was defined by the requirement for hospitalization or emergency department visits due to symptom flare-ups.
J Med Internet Res 2025;27:e69785
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Given this context, we hypothesized that ML models could predict static lung volumes using spirometry alone across a diverse cohort of lung conditions. Such an approach could reduce the need for identifying those who would benefit most from formal lung volume assessments. In this study, we applied ML approaches to develop and validate an algorithm for estimating lung volumes and capacities from standard spirometry.
JMIR AI 2025;4:e65456
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This enabled remote health monitoring throughout the study by active (PROMs and spirometry) and passive (wearable) continuous data collection. Patients were instructed to fill out PROMs and perform spirometry at predefined intervals. They were instructed to wear the wearable during waking hours (at least 14 h per day) throughout the study period and optionally at night.
JMIR Form Res 2025;9:e58266
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Understanding how people with CF incorporate home spirometry into their treatment routine is crucial for evaluating its added value. There is a specific need for more insights into the long-term uptake of home spirometry in regular CF care. This study aimed to examine the uptake of home spirometry in regular CF care in 5 Dutch CF centers over 2.5 years.
J Med Internet Res 2025;27:e60689
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In addition, participants completed home spirometry 5 times per day and ecological momentary assessment (EMA) surveys on a smartphone to determine respiratory symptoms throughout the day. While it was possible for Turner et al [12] to retrospectively assess associations between lung function and exposures within 30 minutes, real-time determination of exposure and its pulmonary impact was not possible.
JMIR Form Res 2024;8:e60147
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Home spirometry device and onboarding.
Screenshot of patient chat experience. FEV1: forced expiratory volume in the first second.
The 3 primary outcomes were patient engagement with the intervention, including (1) module engagement, defined as completing at least 1 module of any chat, (2) spirometry engagement, defined as patients who submitted at least 1 home spirometry FEV1 value, or (3) symptom checklist engagement, defined as patients who responded to a symptom-reporting checklist at least once.
JMIR Mhealth Uhealth 2024;12:e51236
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The care team monitored the number of check-ins and data generated from remote spirometry. Engagement was assessed by averaging weekly check-ins, alerts, and number of spirometry sessions by the patients. In total, 2 yellow check-ins or 1 red check-in prompted a call to the patient first. The care team made notes and then informed the doctor’s office for further follow-up.
JMIR Form Res 2023;7:e51065
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Evaluating a Remote Monitoring Program for Respiratory Diseases: Prospective Observational Study
Spirometry adherence rates for the ILD and COPD cohorts were calculated based on the frequency of recordings per week. The American Thoracic Society (ATS) grading system provided with spirometry data was used to assess the quality and usability of the measurements. These analyses enabled us to visualize the optimal protocol frequency for spirometry to limit burden while ensuring useful data.
JMIR Form Res 2023;7:e51507
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Uncertainty around the effective spirometry use is partially due to the scarcity of spirometer compliance data [16]. Compliance measurements, made through self-reporting and staff observation, are difficult to obtain, and when captured, they have demonstrated low patient adherence to the incentive spirometer device [12].
JMIR Biomed Eng 2023;8:e46653
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